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Group of businesswomen wish to open a high fashion boutique in a vacant store but only if the average income in the area is at least $45,000. A random sample of 10 households showed the following results for income:
$48000, $52000, $42000, $38000, $44000, $37000, $44000, $46000, $49000, $40000
Use alpha=0.01 to test whether or not the businesswomen should open their boutique in this neighborhood.
Formulate and solve a 0-1 integer linear program model that can be used to find the minimum number of locations necessary to provide coverage to all areas. Clearly indicate your linear program model.
The newspaper has charged that your police department responds more slowly to 911 calls in poor neighborhoods than in more wealthy ones.
At 0.05 level of significance, is there evidence of noteworthy difference in variation in sales among different aisle locations?
San francisco also reported that a scientific polling organization found that new zealanders favor the law by a margin of 56.4% to 39.3%. Explain why the two polls can give such widely differing results and which poll is likely to be more reliable..
A clinical study was performed to determine if a product was effective in alleviating side effects caused by a mode of treatment. In the treated group (100 subjects) it was found that 10% had side effect A, 15% had side effect B and 65% had side eff..
The lapping process, which is used to grind certain silicon wafers to the proper thickness, is acceptable only if 'sigma', the population standard deviation of the thickness of dice cut from the wafers, is at most 0.50 mil.
A random sample of 10 shafts has an average diameter of 0.2545 inches. a) Construct a 99% confidence interval of the true mean
As the correlation coefficient increases from 0.85 to 0.88, do the points of the scatter plot move toward the regression line, or away from it?
A fabric manufacturer wants to know how large an advantage in strength fabrics treated by the Permafresh method have over the fabrics treated by the Hylite process. Give a 90% confidence interval for the difference in mean breaking strengths.
Be certain to mention the direction of the relationship, the strength of the relationship, and whether our findings are statistically significant
Find the probability of a Type II error if in fact the mean waiting time is actually 9.8 minutes.
Compute the standard error of the mean O(funny o with line) line over x, for sample sizes of 50, 100, 15o, and 200. What can you say about the size of the standard error of the mean as the sample size is increased?
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